This repository is the MATLAB codes provided as part of the our ICCAIS 2023 Paper: H. V. Nguyen, T. T. D. Nguyen, C. Shim, M. Anuar, "The Smooth Trajectory Estimator for LMB Filters", in Proc of 2023 ICCAIS, Nov 2023, pp. 1--6. Paper
Below is the comparative result for a linear tracking scenario (Scenario 1 in the paper) between the LMB filter and the STE-LMB filter (our proposed method):

@inproceedings{nguyen2023the,
  title={The Smooth Trajectory Estimator for LMB Filters},
  author={Nguyen, Hoa Van and Nguyen, Tran Thien Dat and Shim, Changbeom and Anuar, Marzhar},
  booktitle={Proceedings of the 12th International Conference on Control, Automation and Information Sciences (ICCAIS)},
  year={2023},
  pages={1--6},
  organization={IEEE}
}

Run demo.m to run the simulation.
Uncomment line 30 to run linear dynamic experiment.
Uncomment line 31 to run non-linear dynamic experiment.

This implementation is based on the GLMB-Partial-Smoothing developed by Dr. Tran Thien Dat Nguyen and the MATLAB RFS tracking toolbox provided by Prof. Ba-Tuong Vo.

For any queries please contact me at nguyenvanhoa89@gmail.com.

This project is licensed under the MIT License - see the LICENSE.md file for details.